SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth

A key limitation of deep convolutional neural network (DCNN)-based image segmentation methods is the lack of generalizability. Manually traced training images are typically required when segmenting organs in a new imaging modality or from distinct disease cohort. The manual efforts can be alleviated...

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Detalles Bibliográficos
Publicado en:IEEE Trans Med Imaging
Main Authors: Huo, Yuankai, Xu, Zhoubing, Moon, Hyeonsoo, Bao, Shunxing, Assad, Albert, Moyo, Tamara K., Savona, Michael R., Abramson, Richard G., Landman, Bennett A.
Formato: Artigo
Idioma:Inglês
Publicado: 2018
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Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6504618/
https://ncbi.nlm.nih.gov/pubmed/30334788
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2018.2876633
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